Tyler Derr

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 89

Top Topics

Relational Graph

Machine Learning

Online Social Media

Top Venues

Publications

Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. CoRR (2024)
Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. ICLR (2024)
Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr
Knowledge Graph Prompting for Multi-Document Question Answering. AAAI (2024)
Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui
Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation. WWW (Companion Volume) (2024)
Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr
Augmenting Textual Generation via Topology Aware Retrieval. CoRR (2024)
Yuying Zhao, Yu Wang, Yi Zhang, Pamela J. Wisniewski, Charu C. Aggarwal, Tyler Derr
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. AAAI (2024)
Austin Coursey, Junyi Ji, Marcos Quiñones-Grueiro, William Barbour, Yuhang Zhang, Tyler Derr, Gautam Biswas, Daniel B. Work
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection. CoRR (2024)
Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. CoRR (2024)
Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed
The 5th International Workshop on Machine Learning on Graphs (MLoG). WSDM (2024)
Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr
Edge Classification on Graphs: New Directions in Topological Imbalance. CoRR (2024)
Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui
Knowledge Graph-based Session Recommendation with Adaptive Propagation. CoRR (2024)
Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. WWW (2024)
Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr
Large Generative Graph Models. CoRR (2024)
Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan
The 3rd International Workshop on Machine Learning on Graphs (MLoG). WSDM (2023)
Anwar Said, Mudassir Shabbir, Tyler Derr, Waseem Abbas, Xenofon D. Koutsoukos
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation. ICMLA (2023)
Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa Siu, Ruiyi Zhang, Tyler Derr
Knowledge Graph Prompting for Multi-Document Question Answering. CoRR (2023)
Yuying Zhao, Yu Wang, Tyler Derr
Fairness and Explainability: Bridging the Gap towards Fair Model Explanations. AAAI (2023)
Ruiqi Feng, Zhichao Hou, Tyler Derr, Xiaorui Liu
Robust Graph Neural Networks via Unbiased Aggregation. CoRR (2023)
Kiana Kheiri, Muhammad Fawad Akbar Khan, Tyler Derr, Hamid Karimi
An Analysis of the Dynamics of Ties on Twitter. BigData (2023)
Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang
Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Anwar Said, Mudassir Shabbir, Tyler Derr, Waseem Abbas, Xenofon D. Koutsoukos
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation. CoRR (2023)
Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr
Collaboration-Aware Graph Convolutional Network for Recommender Systems. WWW (2023)
Anwar Said, Tyler Derr, Mudassir Shabbir, Waseem Abbas, Xenofon D. Koutsoukos
A Survey of Graph Unlearning. CoRR (2023)
Yunchao Liu, Yu Wang, Oanh Vu, Rocco Moretti, Bobby Bodenheimer, Jens Meiler, Tyler Derr
Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery. AAAI (2023)
Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. CoRR (2023)
Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon D. Koutsoukos
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics. CoRR (2023)
Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. CoRR (2023)
Yuying Zhao, Yu Wang, Yunchao Liu, Xueqi Cheng, Charu C. Aggarwal, Tyler Derr
Fairness and Diversity in Recommender Systems: A Survey. CoRR (2023)
Anwar Said, Roza G. Bayrak, Tyler Derr, Mudassir Shabbir, Daniel Moyer, Catie Chang, Xenofon D. Koutsoukos
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics. NeurIPS (2023)
Hamid Karimi, Tyler Derr
Decision Boundaries of Deep Neural Networks. ICMLA (2022)
Benedek Rozemberczki, Charles Tapley Hoyt, Anna Gogleva, Piotr Grabowski, Klas Karis, Andrej Lamov, Andriy Nikolov, Sebastian Nilsson, Michaël Ughetto, Yu Wang, Tyler Derr, Benjamin M. Gyori
ChemicalX: A Deep Learning Library for Drug Pair Scoring. CoRR (2022)
Benedek Rozemberczki, Charles Tapley Hoyt, Anna Gogleva, Piotr Grabowski, Klas Karis, Andrej Lamov, Andriy Nikolov, Sebastian Nilsson, Michaël Ughetto, Yu Wang, Tyler Derr, Benjamin M. Gyori
ChemicalX: A Deep Learning Library for Drug Pair Scoring. KDD (2022)
Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
Imbalanced Graph Classification via Graph-of-Graph Neural Networks. CIKM (2022)
Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu
Enhancing Individual Fairness through Propensity Score Matching. DSAA (2022)
Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr
Collaboration-Aware Graph Convolutional Networks for Recommendation Systems. CoRR (2022)
Yu Wang, Tyler Derr
Degree-Related Bias in Link Prediction. ICDM (Workshops) (2022)
Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. KDD (2022)
Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
On Structural Explanation of Bias in Graph Neural Networks. CoRR (2022)
Xinmeng Zhang, Yuying Zhao, Chao Yan, Tyler Derr, You Chen
Inferring EHR Utilization Workflows through Audit Logs. AMIA (2022)
Yuying Zhao, Yu Wang, Tyler Derr
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations. CoRR (2022)
Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr
THINK: Temporal Hypergraph Hyperbolic Network. ICDM (2022)
Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
On Structural Explanation of Bias in Graph Neural Networks. KDD (2022)
Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage. CoRR (2022)
Philip S. Yu, Olivera Kotevska, Tyler Derr
PAS: Privacy Algorithms in Systems. CIKM (2022)
Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. ICDE (2021)
Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi
Interpretable Visual Understanding with Cognitive Attention Network. ICANN (1) (2021)
Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang
Node Similarity Preserving Graph Convolutional Networks. WSDM (2021)
Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang
Graph Adversarial Attack via Rewiring. KDD (2021)
Yu Wang, Tyler Derr
Tree Decomposed Graph Neural Network. CIKM (2021)
Yu Wang, Charu Aggarwal, Tyler Derr
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification. CoRR (2021)
Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi
Interpretable Visual Understanding with Cognitive Attention Network. CoRR (2021)
Aaron Brookhouse, Tyler Derr, Hamid Karimi, H. Russell Bernard, Jiliang Tang
Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries. HT (2021)
Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
Graph Feature Gating Networks. CIKM (2021)
Yu Wang, Tyler Derr
Tree Decomposed Graph Neural Network. CoRR (2021)
Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
Imbalanced Graph Classification via Graph-of-Graph Neural Networks. CoRR (2021)
Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach. AAAI (2021)
Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
Graph Feature Gating Networks. CoRR (2021)
Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
Deep Adversarial Network Alignment. CIKM (2021)
Hamid Karimi, Tyler Derr, Jiangtao Huang, Jiliang Tang
Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network. EDM (2020)
Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang
Learning from Incomplete Labeled Data via Adversarial Data Generation. ICDM (2020)
Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, Jiliang Tang
Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest. AIED (2) (2020)
Tyler Derr
Network Analysis with Negative Links. WSDM (2020)
Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang
Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest. TALE (2020)
Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. CoRR (2020)
Amin Javari, Tyler Derr, Pouya Esmailian, Jiliang Tang, Kevin Chen-Chuan Chang
ROSE: Role-based Signed Network Embedding. WWW (2020)
Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang
Epidemic Graph Convolutional Network. WSDM (2020)
Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma
Deep Graph Learning: Foundations, Advances and Applications. KDD (2020)
Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang
Node Similarity Preserving Graph Convolutional Networks. CoRR (2020)
Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models. CoRR (2020)
Tyler Derr, Zhiwei Wang, Jamell Dacon, Jiliang Tang
Link and interaction polarity predictions in signed networks. Soc. Netw. Anal. Min. 10 (1) (2020)
Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang
Self-supervised Learning on Graphs: Deep Insights and New Direction. CoRR (2020)
Aaron Brookhouse, Tyler Derr, Hamid Karimi, H. Russell Bernard, Jiliang Tang
Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries. CoRR (2020)
Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang
Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest. L@S (2020)
Hamid Karimi, Tyler Derr, Jiliang Tang
Characterizing the Decision Boundary of Deep Neural Networks. CoRR (2019)
Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
Deep Adversarial Social Recommendation. CoRR (2019)
Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang
Balance in Signed Bipartite Networks. CoRR (2019)
Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang
Say What I Want: Towards the Dark Side of Neural Dialogue Models. CoRR (2019)
Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang
Balance in Signed Bipartite Networks. CIKM (2019)
Hamid Karimi, Tyler Derr, Aaron Brookhouse, Jiliang Tang
Multi-factor congressional vote prediction. ASONAM (2019)
Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
Deep Adversarial Social Recommendation. IJCAI (2019)
Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
Deep Adversarial Network Alignment. CoRR (2019)
Tyler Derr, Yao Ma, Jiliang Tang
Signed Graph Convolutional Networks. ICDM (2018)
Tyler Derr, Yao Ma, Jiliang Tang
Signed Graph Convolutional Network. CoRR (2018)
Tyler Derr, Zhiwei Wang, Jiliang Tang
Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks. ASONAM (2018)
Tyler Derr, Jiliang Tang
Congressional Vote Analysis Using Signed Networks. ICDM Workshops (2018)
Tyler Derr, Charu C. Aggarwal, Jiliang Tang
Signed Network Modeling Based on Structural Balance Theory. CIKM (2018)
Zhiwei Wang, Tyler Derr, Dawei Yin, Jiliang Tang
Understanding and Predicting Weight Loss with Mobile Social Networking Data. CIKM (2017)
Tyler Derr, Charu C. Aggarwal, Jiliang Tang
Signed Network Modeling Based on Structural Balance Theory. CoRR (2017)
Tyler Derr, Chenxing Wang, Suhang Wang, Jiliang Tang
Signed Node Relevance Measurements. CoRR (2017)